Overview

Dataset statistics

Number of variables20
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.2 KiB
Average record size in memory160.5 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:57:05.632017
Analysis finished2020-08-25 00:58:00.088707
Duration54.46 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz5 is highly correlated with oz3High correlation
oz3 is highly correlated with oz5High correlation
oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.0798837542533874e-09
Minimum-1.8175053596496584
Maximum1.666369915008545
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:00.137923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.81750536
5-th percentile-1.582950401
Q1-0.8183978796
median0.01802801434
Q30.7930303514
95-th percentile1.51529994
Maximum1.666369915
Range3.483875275
Interquartile range (IQR)1.611428231

Descriptive statistics

Standard deviation1.000000006
Coefficient of variation (CV)-324687581
Kurtosis-1.120887671
Mean-3.079883754e-09
Median Absolute Deviation (MAD)0.7865673965
Skewness-0.06533572496
Sum-7.699709386e-07
Variance1.000000012
2020-08-25T00:58:00.412448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.12206852410.4%
 
1.45899534210.4%
 
1.66636991510.4%
 
0.358864963110.4%
 
0.757985651510.4%
 
0.151166155910.4%
 
-1.80991339710.4%
 
1.03873908510.4%
 
-1.15170323810.4%
 
0.743329882610.4%
 
-1.12337493910.4%
 
0.203776195610.4%
 
0.586767137110.4%
 
1.29817545410.4%
 
-0.912757754310.4%
 
0.295488625810.4%
 
1.42701411210.4%
 
-0.3684855710.4%
 
-0.590985119310.4%
 
-0.996921777710.4%
 
1.54926550410.4%
 
-0.731868505510.4%
 
-0.621072888410.4%
 
-1.11063814210.4%
 
-1.04617452610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.8175053610.4%
 
-1.81202065910.4%
 
-1.80991339710.4%
 
-1.80638682810.4%
 
-1.80074715610.4%
 
-1.79173147710.4%
 
-1.78617203210.4%
 
-1.77115130410.4%
 
-1.74211204110.4%
 
-1.72520935510.4%
 
ValueCountFrequency (%) 
1.66636991510.4%
 
1.66599845910.4%
 
1.65387940410.4%
 
1.64298331710.4%
 
1.6243728410.4%
 
1.60060477310.4%
 
1.5574238310.4%
 
1.5563187610.4%
 
1.55075371310.4%
 
1.55004668210.4%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.5041011514636013e-10
Minimum-1.7954174280166626
Maximum1.6299114227294922
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:00.526980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.795417428
5-th percentile-1.570611018
Q1-0.845918566
median-0.05255859718
Q30.8715962917
95-th percentile1.499603754
Maximum1.629911423
Range3.425328851
Interquartile range (IQR)1.717514858

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-2853798906
Kurtosis-1.211156174
Mean-3.504101151e-10
Median Absolute Deviation (MAD)0.8516223468
Skewness-0.05206439407
Sum-8.760252879e-08
Variance1.000000007
2020-08-25T00:58:00.634959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.262205183510.4%
 
0.739393949510.4%
 
0.126424223210.4%
 
-1.60579025710.4%
 
-1.33740186710.4%
 
-1.28156495110.4%
 
0.96890693910.4%
 
-0.70767486110.4%
 
0.457687288510.4%
 
-0.0501758605210.4%
 
-0.215125203110.4%
 
1.19764769110.4%
 
1.49569809410.4%
 
-1.56376123410.4%
 
0.99379432210.4%
 
1.17019224210.4%
 
-0.677844822410.4%
 
-1.54143905610.4%
 
0.41123479610.4%
 
-0.158235415810.4%
 
-0.574834883210.4%
 
1.48703873210.4%
 
1.60417401810.4%
 
-0.397522538910.4%
 
0.261047750710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.79541742810.4%
 
-1.79405188610.4%
 
-1.78104984810.4%
 
-1.77598500310.4%
 
-1.77322137410.4%
 
-1.76083445510.4%
 
-1.72777295110.4%
 
-1.70470130410.4%
 
-1.68338561110.4%
 
-1.6484736210.4%
 
ValueCountFrequency (%) 
1.62991142310.4%
 
1.62814545610.4%
 
1.61995339410.4%
 
1.607475410.4%
 
1.60417401810.4%
 
1.60350835310.4%
 
1.59191644210.4%
 
1.58923065710.4%
 
1.55649745510.4%
 
1.55063784110.4%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.070104865443568e-09
Minimum-2.073324918746948
Maximum2.325996398925781
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:00.751327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.073324919
5-th percentile-1.601701504
Q1-0.7959720492
median0.002105487918
Q30.8315555304
95-th percentile1.521894479
Maximum2.325996399
Range4.399321318
Interquartile range (IQR)1.62752758

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)325721773.5
Kurtosis-0.9480524747
Mean3.070104865e-09
Median Absolute Deviation (MAD)0.82080248
Skewness-0.04603528417
Sum7.675262164e-07
Variance1.000000003
2020-08-25T00:58:00.850612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.109680123610.4%
 
-1.11457574410.4%
 
1.38906204710.4%
 
-1.71032226110.4%
 
-1.32978737410.4%
 
1.30797553110.4%
 
-0.331942766910.4%
 
0.933767676410.4%
 
-0.0445664785810.4%
 
1.82553911210.4%
 
-0.276941180210.4%
 
1.76694154710.4%
 
-0.82438337810.4%
 
-1.25132095810.4%
 
-0.352619171110.4%
 
-0.00127441785310.4%
 
-1.27271270810.4%
 
-0.405839294210.4%
 
-1.75421643310.4%
 
-0.798543214810.4%
 
-1.23802447310.4%
 
0.00824087392510.4%
 
-0.439038991910.4%
 
1.54619252710.4%
 
1.43485820310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.07332491910.4%
 
-2.02612471610.4%
 
-1.97038865110.4%
 
-1.84376394710.4%
 
-1.83347451710.4%
 
-1.79100501510.4%
 
-1.75421643310.4%
 
-1.72018134610.4%
 
-1.71032226110.4%
 
-1.64598584210.4%
 
ValueCountFrequency (%) 
2.32599639910.4%
 
2.04261755910.4%
 
1.87289929410.4%
 
1.82553911210.4%
 
1.77733981610.4%
 
1.76694154710.4%
 
1.65284597910.4%
 
1.64568555410.4%
 
1.64148354510.4%
 
1.61380267110.4%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.4586916147484316e-10
Minimum-1.5433738231658936
Maximum1.7505342960357666
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:00.961161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.543373823
5-th percentile-1.440917432
Q1-0.9140518457
median-0.1356068254
Q30.9491038173
95-th percentile1.525088137
Maximum1.750534296
Range3.293908119
Interquartile range (IQR)1.863155663

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-4067203860
Kurtosis-1.335555799
Mean-2.458691615e-10
Median Absolute Deviation (MAD)0.957873404
Skewness0.108159783
Sum-6.146729037e-08
Variance1.000000005
2020-08-25T00:58:01.068924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.25760352610.4%
 
1.14097273310.4%
 
-0.182721778810.4%
 
-1.28358519110.4%
 
0.337877124510.4%
 
-0.874310672310.4%
 
-0.783391952510.4%
 
-1.08631491710.4%
 
0.365328103310.4%
 
0.433928966510.4%
 
-0.266936570410.4%
 
-1.42908632810.4%
 
1.15769064410.4%
 
-0.302822589910.4%
 
0.953300476110.4%
 
-1.38493752510.4%
 
-0.61439734710.4%
 
-0.529467642310.4%
 
0.581712722810.4%
 
-0.444419354210.4%
 
-0.760418713110.4%
 
0.950031220910.4%
 
-1.32356512510.4%
 
-1.29622030310.4%
 
-1.46809065310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.54337382310.4%
 
-1.5429068810.4%
 
-1.50637185610.4%
 
-1.49205744310.4%
 
-1.49066364810.4%
 
-1.48744559310.4%
 
-1.47259116210.4%
 
-1.46809065310.4%
 
-1.46314930910.4%
 
-1.45310115810.4%
 
ValueCountFrequency (%) 
1.75053429610.4%
 
1.73844075210.4%
 
1.73409974610.4%
 
1.714371810.4%
 
1.71147942510.4%
 
1.64528977910.4%
 
1.60645031910.4%
 
1.59034037610.4%
 
1.56485843710.4%
 
1.54778373210.4%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.3096800028099552e-10
Minimum-1.689373016357422
Maximum1.807542085647583
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:01.191336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.689373016
5-th percentile-1.512384111
Q1-0.8765457422
median0.04660394974
Q30.7891972959
95-th percentile1.615605158
Maximum1.807542086
Range3.496915102
Interquartile range (IQR)1.665743038

Descriptive statistics

Standard deviation0.9999999958
Coefficient of variation (CV)-4329604078
Kurtosis-1.154762472
Mean-2.309680003e-10
Median Absolute Deviation (MAD)0.8602472823
Skewness0.06101221034
Sum-5.774200007e-08
Variance0.9999999917
2020-08-25T00:58:01.299219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.999996483310.4%
 
-0.00285789556810.4%
 
-0.879595756510.4%
 
1.05898904810.4%
 
-1.09958839410.4%
 
-1.58241796510.4%
 
-1.50547635610.4%
 
0.445944577510.4%
 
0.689154326910.4%
 
-0.53826934110.4%
 
-0.884460389610.4%
 
-1.29490518610.4%
 
1.49352407510.4%
 
-1.05113792410.4%
 
0.227217510310.4%
 
1.74741804610.4%
 
-0.215611457810.4%
 
1.54722070710.4%
 
-1.39096999210.4%
 
0.524095237310.4%
 
1.69467222710.4%
 
0.293296635210.4%
 
-0.104207582810.4%
 
1.74349105410.4%
 
-0.32037642610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.68937301610.4%
 
-1.6597220910.4%
 
-1.64162695410.4%
 
-1.63241004910.4%
 
-1.62707233410.4%
 
-1.61693680310.4%
 
-1.58241796510.4%
 
-1.56808102110.4%
 
-1.56194984910.4%
 
-1.53150296210.4%
 
ValueCountFrequency (%) 
1.80754208610.4%
 
1.77502834810.4%
 
1.74741804610.4%
 
1.74349105410.4%
 
1.7233332410.4%
 
1.71800470410.4%
 
1.71724939310.4%
 
1.71484589610.4%
 
1.69467222710.4%
 
1.67042672610.4%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.937150958752909e-09
Minimum-1.740746021270752
Maximum1.692247986793518
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:01.416151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.740746021
5-th percentile-1.531250036
Q1-0.874879986
median-0.0363000771
Q30.8856553882
95-th percentile1.592376113
Maximum1.692247987
Range3.432994008
Interquartile range (IQR)1.760535374

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-516222031
Kurtosis-1.219041926
Mean-1.937150959e-09
Median Absolute Deviation (MAD)0.8897899985
Skewness0.04612351651
Sum-4.842877397e-07
Variance1.000000005
2020-08-25T00:58:01.528282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.910155475110.4%
 
0.266679227410.4%
 
-0.534563243410.4%
 
0.256188631110.4%
 
-0.0655917599810.4%
 
1.62142813210.4%
 
1.20376956510.4%
 
-0.424642354210.4%
 
1.45931005510.4%
 
0.170014470810.4%
 
-0.757972538510.4%
 
-1.31477069910.4%
 
-1.60383117210.4%
 
0.736973643310.4%
 
-1.42902231210.4%
 
-1.13214433210.4%
 
0.757933914710.4%
 
-0.967459678610.4%
 
-1.48857212110.4%
 
-1.32938957210.4%
 
-0.656392276310.4%
 
0.860700249710.4%
 
-0.875626802410.4%
 
1.02273595310.4%
 
1.5832796110.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.74074602110.4%
 
-1.72509872910.4%
 
-1.70472383510.4%
 
-1.67591381110.4%
 
-1.66482496310.4%
 
-1.65418553410.4%
 
-1.64003050310.4%
 
-1.61682701110.4%
 
-1.60460734410.4%
 
-1.60383117210.4%
 
ValueCountFrequency (%) 
1.69224798710.4%
 
1.68431723110.4%
 
1.6799242510.4%
 
1.66113996510.4%
 
1.65828156510.4%
 
1.64390492410.4%
 
1.63869774310.4%
 
1.63101124810.4%
 
1.62473392510.4%
 
1.62292265910.4%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.6444980651140214e-09
Minimum-1.7631829977035522
Maximum1.6902316808700562
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:01.647710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.763182998
5-th percentile-1.573728049
Q1-0.8936127722
median0.09664574265
Q30.8498443663
95-th percentile1.548083508
Maximum1.690231681
Range3.453414679
Interquartile range (IQR)1.743457139

Descriptive statistics

Standard deviation0.9999999969
Coefficient of variation (CV)-274386206
Kurtosis-1.199803434
Mean-3.644498065e-09
Median Absolute Deviation (MAD)0.8726958036
Skewness-0.04776470791
Sum-9.111245163e-07
Variance0.9999999938
2020-08-25T00:58:01.756142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.754013836410.4%
 
1.0325163610.4%
 
0.049144115310.4%
 
-0.217450216410.4%
 
-0.531323969410.4%
 
1.53451013610.4%
 
0.920574426710.4%
 
1.20442724210.4%
 
-0.342608988310.4%
 
-0.906830668410.4%
 
0.725743532210.4%
 
0.588047862110.4%
 
1.66827344910.4%
 
1.63569533810.4%
 
-0.987940728710.4%
 
-1.74442458210.4%
 
0.476860046410.4%
 
-0.167637392910.4%
 
-0.537734687310.4%
 
0.627379715410.4%
 
-0.608045220410.4%
 
-1.32119774810.4%
 
1.60571575210.4%
 
0.574829518810.4%
 
1.33324825810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.76318299810.4%
 
-1.74442458210.4%
 
-1.74285328410.4%
 
-1.73681771810.4%
 
-1.70198488210.4%
 
-1.69433164610.4%
 
-1.66994154510.4%
 
-1.65836775310.4%
 
-1.65418434110.4%
 
-1.64731395210.4%
 
ValueCountFrequency (%) 
1.69023168110.4%
 
1.68770134410.4%
 
1.66827344910.4%
 
1.66025030610.4%
 
1.63569533810.4%
 
1.62013268510.4%
 
1.60955059510.4%
 
1.60571575210.4%
 
1.60269284210.4%
 
1.59957575810.4%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.238719940185547e-10
Minimum-1.7026450634002686
Maximum1.7175029516220093
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:01.870534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.702645063
5-th percentile-1.552119386
Q1-0.8220795244
median-0.04672708362
Q30.8981761932
95-th percentile1.49172377
Maximum1.717502952
Range3.420148015
Interquartile range (IQR)1.720255718

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-1082401035
Kurtosis-1.222189775
Mean-9.23871994e-10
Median Absolute Deviation (MAD)0.8136505187
Skewness-0.004794382162
Sum-2.309679985e-07
Variance1.000000005
2020-08-25T00:58:01.976424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.630367457910.4%
 
-1.2923219210.4%
 
1.05312204410.4%
 
-0.447042018210.4%
 
-0.0857060030110.4%
 
-1.52088034210.4%
 
-0.550478577610.4%
 
0.719911456110.4%
 
-1.47790420110.4%
 
0.0290013197810.4%
 
1.473960410.4%
 
0.979630291510.4%
 
0.238446429410.4%
 
-0.277915567210.4%
 
-0.840498864710.4%
 
-1.03407943210.4%
 
-1.10085868810.4%
 
1.30794405910.4%
 
0.0719565972710.4%
 
-1.07942044710.4%
 
-0.60172170410.4%
 
-1.34992432610.4%
 
-0.606111824510.4%
 
-0.717926979110.4%
 
-1.5686646710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.70264506310.4%
 
-1.69165265610.4%
 
-1.67445051710.4%
 
-1.66855871710.4%
 
-1.64433121710.4%
 
-1.63649475610.4%
 
-1.63571131210.4%
 
-1.63560926910.4%
 
-1.61383092410.4%
 
-1.61348354810.4%
 
ValueCountFrequency (%) 
1.71750295210.4%
 
1.70097994810.4%
 
1.66539955110.4%
 
1.62774431710.4%
 
1.62207055110.4%
 
1.61465632910.4%
 
1.57022154310.4%
 
1.56509518610.4%
 
1.56166994610.4%
 
1.52701365910.4%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.124602466821671e-10
Minimum-1.7526865005493164
Maximum1.66885507106781
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:02.091917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.752686501
5-th percentile-1.578575987
Q1-0.8666653037
median0.009249999159
Q30.9390531927
95-th percentile1.537693083
Maximum1.668855071
Range3.421541572
Interquartile range (IQR)1.805718496

Descriptive statistics

Standard deviation0.9999999959
Coefficient of variation (CV)1951370867
Kurtosis-1.18212887
Mean5.124602467e-10
Median Absolute Deviation (MAD)0.9011224071
Skewness-0.05064064832
Sum1.281150617e-07
Variance0.9999999918
2020-08-25T00:58:02.198721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.18163931410.4%
 
-1.55108308810.4%
 
1.39293456110.4%
 
0.502618014810.4%
 
1.35874986610.4%
 
-0.00153003295410.4%
 
-1.37143504610.4%
 
1.43002319310.4%
 
0.498862117510.4%
 
-0.559731721910.4%
 
1.54167079910.4%
 
0.985946595710.4%
 
0.354814797610.4%
 
-1.28741848510.4%
 
-0.045022968210.4%
 
0.0181074999310.4%
 
1.24337959310.4%
 
1.03778791410.4%
 
-0.195959895810.4%
 
0.305493563410.4%
 
-0.904930770410.4%
 
0.270578920810.4%
 
0.918108582510.4%
 
0.37555736310.4%
 
0.858041465310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.75268650110.4%
 
-1.74723625210.4%
 
-1.70727574810.4%
 
-1.70069956810.4%
 
-1.66259527210.4%
 
-1.64742505610.4%
 
-1.64526081110.4%
 
-1.63515698910.4%
 
-1.62515878710.4%
 
-1.6208555710.4%
 
ValueCountFrequency (%) 
1.66885507110.4%
 
1.6640051610.4%
 
1.6599512110.4%
 
1.65097081710.4%
 
1.63562393210.4%
 
1.60901975610.4%
 
1.60682022610.4%
 
1.60177004310.4%
 
1.58472025410.4%
 
1.56782436410.4%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.484768629074097e-09
Minimum-1.5893044471740725
Maximum1.7294578552246094
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:02.314786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.589304447
5-th percentile-1.445003963
Q1-0.8410803378
median-0.1070203707
Q30.9092839807
95-th percentile1.521440643
Maximum1.729457855
Range3.318762302
Interquartile range (IQR)1.750364318

Descriptive statistics

Standard deviation0.9999999969
Coefficient of variation (CV)-402451956.8
Kurtosis-1.284957649
Mean-2.484768629e-09
Median Absolute Deviation (MAD)0.8969733119
Skewness0.1296645536
Sum-6.211921573e-07
Variance0.9999999937
2020-08-25T00:58:02.422719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.258301377310.4%
 
0.00603600079210.4%
 
-0.563647687410.4%
 
-1.12534093910.4%
 
-1.57485687710.4%
 
0.323079705210.4%
 
-0.331623643610.4%
 
-0.381267398610.4%
 
1.71550130810.4%
 
0.482012778510.4%
 
0.196196854110.4%
 
1.23103809410.4%
 
-0.899203479310.4%
 
1.11224687110.4%
 
-1.05163145110.4%
 
-0.899560868710.4%
 
1.13207614410.4%
 
-1.29366505110.4%
 
1.70730698110.4%
 
-1.22683489310.4%
 
-0.318914532710.4%
 
-0.778967797810.4%
 
-0.675423622110.4%
 
1.72581481910.4%
 
1.25853490810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.58930444710.4%
 
-1.57485687710.4%
 
-1.57402145910.4%
 
-1.55543935310.4%
 
-1.53499090710.4%
 
-1.53019177910.4%
 
-1.50387835510.4%
 
-1.50024104110.4%
 
-1.48882162610.4%
 
-1.470498810.4%
 
ValueCountFrequency (%) 
1.72945785510.4%
 
1.7284078610.4%
 
1.72581481910.4%
 
1.71550130810.4%
 
1.70730698110.4%
 
1.68338525310.4%
 
1.676102410.4%
 
1.63682544210.4%
 
1.62517666810.4%
 
1.60746157210.4%
 

oz3
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.76723027229309e-10
Minimum-1.662092208862305
Maximum3.5325911045074463
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:02.543128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.662092209
5-th percentile-1.303121287
Q1-0.7314932644
median-0.1875837147
Q30.6522530913
95-th percentile1.953018945
Maximum3.532591105
Range5.194683313
Interquartile range (IQR)1.383746356

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)1287460219
Kurtosis0.2604283535
Mean7.767230272e-10
Median Absolute Deviation (MAD)0.6577738225
Skewness0.7792485236
Sum1.941807568e-07
Variance0.9999999982
2020-08-25T00:58:02.643394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.654295027310.4%
 
-0.347499102410.4%
 
-0.602238774310.4%
 
2.31325125710.4%
 
-0.29657784110.4%
 
0.0793152749510.4%
 
-0.111900553110.4%
 
-0.0403937846410.4%
 
0.931331872910.4%
 
1.71422684210.4%
 
-1.05211269910.4%
 
-0.029958559210.4%
 
-0.600274443610.4%
 
1.01499950910.4%
 
-1.30726814310.4%
 
0.75163698210.4%
 
-0.230990365110.4%
 
1.80307710210.4%
 
-0.7780010710.4%
 
-0.154705092310.4%
 
-0.85361272110.4%
 
0.0213827155510.4%
 
0.209882423310.4%
 
-1.41438376910.4%
 
-0.862414419710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.66209220910.4%
 
-1.64661145210.4%
 
-1.60608351210.4%
 
-1.50988948310.4%
 
-1.46554005110.4%
 
-1.41438376910.4%
 
-1.3878841410.4%
 
-1.3570065510.4%
 
-1.35614156710.4%
 
-1.32205665110.4%
 
ValueCountFrequency (%) 
3.53259110510.4%
 
2.93833398810.4%
 
2.54901647610.4%
 
2.48857116710.4%
 
2.48406934710.4%
 
2.31793284410.4%
 
2.31325125710.4%
 
2.27200126610.4%
 
2.26760363610.4%
 
2.21372175210.4%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.201646569943705e-09
Minimum-1.7279250621795654
Maximum1.6830230951309204
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:02.757695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.727925062
5-th percentile-1.598554188
Q1-0.880066067
median0.106758073
Q30.8179607093
95-th percentile1.559163129
Maximum1.683023095
Range3.410948157
Interquartile range (IQR)1.698026776

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)454205510
Kurtosis-1.131114825
Mean2.20164657e-09
Median Absolute Deviation (MAD)0.8209479302
Skewness-0.07691192846
Sum5.504116425e-07
Variance1.000000006
2020-08-25T00:58:02.862368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.845703065410.4%
 
0.775559067710.4%
 
-0.233252093210.4%
 
0.112450696510.4%
 
-1.34524905710.4%
 
0.438570767610.4%
 
0.0439081229310.4%
 
0.753113210210.4%
 
0.740125417710.4%
 
-0.0072426898410.4%
 
0.225997030710.4%
 
0.945490837110.4%
 
-1.34702730210.4%
 
-1.04917442810.4%
 
1.46944677810.4%
 
1.55209195610.4%
 
1.25221824610.4%
 
-1.58902502110.4%
 
-0.313207298510.4%
 
-0.663736820210.4%
 
0.421016961310.4%
 
-0.298174679310.4%
 
0.456865102110.4%
 
1.23566007610.4%
 
0.447830438610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.72792506210.4%
 
-1.72428250310.4%
 
-1.72352492810.4%
 
-1.71937811410.4%
 
-1.7059849510.4%
 
-1.70007884510.4%
 
-1.69601404710.4%
 
-1.67583525210.4%
 
-1.66352224310.4%
 
-1.65922069510.4%
 
ValueCountFrequency (%) 
1.68302309510.4%
 
1.68027865910.4%
 
1.66313362110.4%
 
1.65129172810.4%
 
1.65083932910.4%
 
1.65039980410.4%
 
1.63569748410.4%
 
1.62859892810.4%
 
1.62647759910.4%
 
1.59503805610.4%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0877847635981652e-09
Minimum-1.6934218406677246
Maximum1.7586766481399536
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:02.974177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.693421841
5-th percentile-1.52724629
Q1-0.9206217974
median0.1306988969
Q30.7922177911
95-th percentile1.598290724
Maximum1.758676648
Range3.452098489
Interquartile range (IQR)1.712839589

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-919299512.5
Kurtosis-1.19662398
Mean-1.087784764e-09
Median Absolute Deviation (MAD)0.8558645323
Skewness0.007487593271
Sum-2.719461909e-07
Variance1.000000006
2020-08-25T00:58:03.077908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.829195082210.4%
 
0.325272619710.4%
 
0.18547013410.4%
 
-0.0383530221910.4%
 
-0.563619971310.4%
 
0.229902252610.4%
 
-0.282069712910.4%
 
-1.66245603610.4%
 
-0.660389542610.4%
 
1.32358181510.4%
 
0.283532023410.4%
 
1.38191223110.4%
 
1.31474733410.4%
 
0.720376849210.4%
 
-1.69342184110.4%
 
-1.25616645810.4%
 
1.27466404410.4%
 
-0.741851091410.4%
 
-1.00615966310.4%
 
0.350170403710.4%
 
-1.44657981410.4%
 
1.05912089310.4%
 
-1.34122335910.4%
 
-1.08720004610.4%
 
0.878897547710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69342184110.4%
 
-1.66245603610.4%
 
-1.64302527910.4%
 
-1.63966047810.4%
 
-1.6132043610.4%
 
-1.60980951810.4%
 
-1.60955524410.4%
 
-1.5840891610.4%
 
-1.57582974410.4%
 
-1.56202483210.4%
 
ValueCountFrequency (%) 
1.75867664810.4%
 
1.74900305310.4%
 
1.74412906210.4%
 
1.72108626410.4%
 
1.72056174310.4%
 
1.70840692510.4%
 
1.69456505810.4%
 
1.68631315210.4%
 
1.64755141710.4%
 
1.63476645910.4%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3189932107925417e-09
Minimum-1.7992606163024902
Maximum1.7990553379058838
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:03.196953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.799260616
5-th percentile-1.591013002
Q1-0.8333345205
median0.0003970288672
Q30.8019491732
95-th percentile1.536983252
Maximum1.799055338
Range3.598315954
Interquartile range (IQR)1.635283694

Descriptive statistics

Standard deviation0.999999996
Coefficient of variation (CV)431221614.3
Kurtosis-1.113772102
Mean2.318993211e-09
Median Absolute Deviation (MAD)0.8282289505
Skewness-0.04158453216
Sum5.797483027e-07
Variance0.9999999919
2020-08-25T00:58:03.464155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.05468559310.4%
 
-0.004255896910.4%
 
-1.46619045710.4%
 
-1.27087438110.4%
 
-0.30355814110.4%
 
0.727762043510.4%
 
-1.3021199710.4%
 
0.938656926210.4%
 
-1.40367698710.4%
 
-0.225678905810.4%
 
1.59186279810.4%
 
0.746756434410.4%
 
-1.38362050110.4%
 
1.77671015310.4%
 
-1.44272196310.4%
 
-0.746417224410.4%
 
0.833309352410.4%
 
-1.42316925510.4%
 
0.239272296410.4%
 
0.276445269610.4%
 
-0.948398470910.4%
 
-1.26592886410.4%
 
1.29228854210.4%
 
-0.410961449110.4%
 
-0.90395253910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.79926061610.4%
 
-1.7795147910.4%
 
-1.77291071410.4%
 
-1.76362395310.4%
 
-1.75500285610.4%
 
-1.73496925810.4%
 
-1.71991848910.4%
 
-1.67659997910.4%
 
-1.6687029610.4%
 
-1.64633452910.4%
 
ValueCountFrequency (%) 
1.79905533810.4%
 
1.77671015310.4%
 
1.74466228510.4%
 
1.71875214610.4%
 
1.65637743510.4%
 
1.63279485710.4%
 
1.62573230310.4%
 
1.61900699110.4%
 
1.59186279810.4%
 
1.551485310.4%
 

oz5
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0470470190048217e-09
Minimum-1.5392024517059326
Maximum4.368332386016847
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:03.578141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.539202452
5-th percentile-1.088254982
Q1-0.7197275162
median-0.2923006117
Q30.5011287481
95-th percentile2.042604291
Maximum4.368332386
Range5.907534838
Interquartile range (IQR)1.220856264

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)488508564.7
Kurtosis1.791652384
Mean2.047047019e-09
Median Absolute Deviation (MAD)0.4857869148
Skewness1.339594737
Sum5.117617548e-07
Variance1.000000002
2020-08-25T00:58:03.696385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.148315146610.4%
 
-1.24738562110.4%
 
-0.697445869410.4%
 
1.70348334310.4%
 
0.22392159710.4%
 
-0.882498383510.4%
 
0.744313836110.4%
 
-0.292885631310.4%
 
-0.304161906210.4%
 
0.672856867310.4%
 
0.798991560910.4%
 
0.861490309210.4%
 
-1.01399445510.4%
 
1.13766825210.4%
 
-0.600476324610.4%
 
-1.05438017810.4%
 
-0.611700892410.4%
 
-0.737456619710.4%
 
-0.311842590610.4%
 
1.20048844810.4%
 
1.70439183710.4%
 
4.36833238610.4%
 
3.70564508410.4%
 
0.522114276910.4%
 
-0.755511939510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.53920245210.4%
 
-1.30352425610.4%
 
-1.24738562110.4%
 
-1.20335853110.4%
 
-1.20107388510.4%
 
-1.16666960710.4%
 
-1.15440833610.4%
 
-1.14161086110.4%
 
-1.12971425110.4%
 
-1.12712919710.4%
 
ValueCountFrequency (%) 
4.36833238610.4%
 
3.70564508410.4%
 
2.90930962610.4%
 
2.66090989110.4%
 
2.60153222110.4%
 
2.53916025210.4%
 
2.45447921810.4%
 
2.30232310310.4%
 
2.15630269110.4%
 
2.13080263110.4%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5869736635920617e-09
Minimum-1.805269479751587
Maximum1.7197413444519043
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:03.813439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.80526948
5-th percentile-1.602531898
Q1-0.841921851
median0.02278614417
Q30.8225495219
95-th percentile1.590969098
Maximum1.719741344
Range3.525010824
Interquartile range (IQR)1.664471373

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)630130182.2
Kurtosis-1.123779143
Mean1.586973664e-09
Median Absolute Deviation (MAD)0.8444863558
Skewness-0.04373641425
Sum3.967434159e-07
Variance1.000000008
2020-08-25T00:58:03.917109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.45800423610.4%
 
1.35285472910.4%
 
1.52478456510.4%
 
-1.26306235810.4%
 
0.0410269238110.4%
 
1.03551495110.4%
 
0.408778488610.4%
 
0.546761751210.4%
 
-1.77377545810.4%
 
0.1787527810.4%
 
0.486898809710.4%
 
-1.60970425610.4%
 
-0.951824009410.4%
 
0.3758955310.4%
 
0.0351662039810.4%
 
0.0101081468210.4%
 
-1.69653999810.4%
 
0.421220749610.4%
 
-1.40167760810.4%
 
1.14413702510.4%
 
-0.711088180510.4%
 
1.23955130610.4%
 
-1.74275565110.4%
 
1.2179268610.4%
 
0.949357867210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.8052694810.4%
 
-1.79321324810.4%
 
-1.77717304210.4%
 
-1.77377545810.4%
 
-1.74275565110.4%
 
-1.70957088510.4%
 
-1.69653999810.4%
 
-1.68889868310.4%
 
-1.6439869410.4%
 
-1.60970425610.4%
 
ValueCountFrequency (%) 
1.71974134410.4%
 
1.71806585810.4%
 
1.70555472410.4%
 
1.69612371910.4%
 
1.67190384910.4%
 
1.66835153110.4%
 
1.66111874610.4%
 
1.6498140110.4%
 
1.64511835610.4%
 
1.6175599110.4%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.85453416693349e-10
Minimum-1.5737886428833008
Maximum1.7846697568893433
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:04.031420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.573788643
5-th percentile-1.484375352
Q1-0.8658524156
median-0.04344587773
Q30.919506669
95-th percentile1.635649747
Maximum1.784669757
Range3.3584584
Interquartile range (IQR)1.785359085

Descriptive statistics

Standard deviation0.9999999979
Coefficient of variation (CV)1458888341
Kurtosis-1.21881606
Mean6.854534167e-10
Median Absolute Deviation (MAD)0.881684266
Skewness0.131201821
Sum1.713633542e-07
Variance0.9999999958
2020-08-25T00:58:04.134206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.357421636610.4%
 
-0.916177988110.4%
 
1.65634071810.4%
 
-0.046710684910.4%
 
0.203433811710.4%
 
0.484582841410.4%
 
1.31528866310.4%
 
-0.535175859910.4%
 
-0.617361187910.4%
 
1.68686544910.4%
 
0.319909244810.4%
 
-0.749191820610.4%
 
0.216722056310.4%
 
0.817549526710.4%
 
-0.796981930710.4%
 
-1.50617861710.4%
 
1.58619570710.4%
 
0.193643242110.4%
 
-1.48946130310.4%
 
-0.0303016323610.4%
 
-0.864398121810.4%
 
0.835598528410.4%
 
1.14678037210.4%
 
0.250559985610.4%
 
1.67508387610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.57378864310.4%
 
-1.55054032810.4%
 
-1.54931724110.4%
 
-1.54856646110.4%
 
-1.53922104810.4%
 
-1.5221997510.4%
 
-1.52028489110.4%
 
-1.51948714310.4%
 
-1.50866138910.4%
 
-1.50617861710.4%
 
ValueCountFrequency (%) 
1.78466975710.4%
 
1.78246426610.4%
 
1.78061294610.4%
 
1.76490390310.4%
 
1.74313902910.4%
 
1.7393381610.4%
 
1.70334982910.4%
 
1.70103967210.4%
 
1.68686544910.4%
 
1.67927527410.4%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.4889748096466063e-10
Minimum-1.6367199420928955
Maximum1.7306647300720217
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:04.255854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.636719942
5-th percentile-1.490342003
Q1-0.9035812467
median-0.05955126137
Q30.8733493388
95-th percentile1.561835855
Maximum1.73066473
Range3.367384672
Interquartile range (IQR)1.776930586

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-2227680141
Kurtosis-1.252293343
Mean-4.48897481e-10
Median Absolute Deviation (MAD)0.9052449688
Skewness0.001538316012
Sum-1.122243702e-07
Variance1.000000007
2020-08-25T00:58:04.356812image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.01953673410.4%
 
-0.0240374486910.4%
 
-0.243331775110.4%
 
-0.810723006710.4%
 
1.00648784610.4%
 
-1.43830788110.4%
 
-0.420739859310.4%
 
-0.331381559410.4%
 
1.46712851510.4%
 
1.21776914610.4%
 
-0.708658337610.4%
 
1.43684482610.4%
 
1.07454252210.4%
 
-0.0382789559710.4%
 
0.0156121579910.4%
 
1.61261272410.4%
 
-0.147979408510.4%
 
0.718902409110.4%
 
-1.0911221510.4%
 
-1.02471435110.4%
 
0.985990166710.4%
 
1.32255649610.4%
 
-0.288709461710.4%
 
0.114599883610.4%
 
0.223292604110.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.63671994210.4%
 
-1.63108134310.4%
 
-1.62500655710.4%
 
-1.61776709610.4%
 
-1.60667717510.4%
 
-1.6056119210.4%
 
-1.58804559710.4%
 
-1.58388924610.4%
 
-1.57213687910.4%
 
-1.55736601410.4%
 
ValueCountFrequency (%) 
1.7306647310.4%
 
1.71343040510.4%
 
1.70683300510.4%
 
1.70559549310.4%
 
1.66912984810.4%
 
1.65805220610.4%
 
1.63760924310.4%
 
1.63669097410.4%
 
1.62887644810.4%
 
1.61785209210.4%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.528571248054504e-10
Minimum-1.7101563215255735
Maximum1.7803328037261963
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:04.470305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.710156322
5-th percentile-1.51157819
Q1-0.805320397
median-0.05499249697
Q30.8661489636
95-th percentile1.661741346
Maximum1.780332804
Range3.490489125
Interquartile range (IQR)1.671469361

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1531728711
Kurtosis-1.144926456
Mean6.528571248e-10
Median Absolute Deviation (MAD)0.8335264623
Skewness0.1082949581
Sum1.632142812e-07
Variance1.000000004
2020-08-25T00:58:04.572095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.1347649110.4%
 
-1.1614166510.4%
 
0.278159648210.4%
 
0.876143336310.4%
 
-0.686685681310.4%
 
0.821935772910.4%
 
-0.97363680610.4%
 
0.113544903710.4%
 
-1.60280084610.4%
 
-1.42950224910.4%
 
-0.870269477410.4%
 
0.580751836310.4%
 
0.185217812710.4%
 
0.954774141310.4%
 
-0.406809955810.4%
 
-0.265451312110.4%
 
1.48637962310.4%
 
-0.756974101110.4%
 
0.296210497610.4%
 
0.47319823510.4%
 
0.173373267110.4%
 
-1.14092755310.4%
 
1.51783978910.4%
 
1.26099550710.4%
 
-0.279847085510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.71015632210.4%
 
-1.70851564410.4%
 
-1.6863949310.4%
 
-1.66995370410.4%
 
-1.65792775210.4%
 
-1.63249063510.4%
 
-1.60280084610.4%
 
-1.60012042510.4%
 
-1.57198107210.4%
 
-1.54328095910.4%
 
ValueCountFrequency (%) 
1.78033280410.4%
 
1.77058398710.4%
 
1.76987910310.4%
 
1.7618092310.4%
 
1.75802826910.4%
 
1.72948765810.4%
 
1.72794115510.4%
 
1.72671246510.4%
 
1.69901204110.4%
 
1.6931672110.4%
 

target
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.9392540525918776e-09
Minimum-2.5768563747406006
Maximum3.942876100540161
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:58:04.685420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.576856375
5-th percentile-1.920647806
Q1-0.6424921751
median0.2090812773
Q30.6821721643
95-th percentile1.278779852
Maximum3.942876101
Range6.519732475
Interquartile range (IQR)1.324664339

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-340222377.7
Kurtosis0.4579219604
Mean-2.939254053e-09
Median Absolute Deviation (MAD)0.6209475696
Skewness-0.2600030856
Sum-7.348135131e-07
Variance1.000000005
2020-08-25T00:58:04.792989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.21136486510.4%
 
0.156533226410.4%
 
0.290860503910.4%
 
-1.6136355410.4%
 
-0.59735637910.4%
 
-0.999827265710.4%
 
0.314783930810.4%
 
-2.57685637510.4%
 
0.279870212110.4%
 
-0.890791535410.4%
 
-0.713544249510.4%
 
0.020997477710.4%
 
0.425618708110.4%
 
-1.26985168510.4%
 
-0.934183657210.4%
 
-0.528960764410.4%
 
1.28343284110.4%
 
1.05889010410.4%
 
0.331292808110.4%
 
0.549459934210.4%
 
-1.41141867610.4%
 
0.33454173810.4%
 
1.04812574410.4%
 
0.6749399910.4%
 
0.829723119710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.57685637510.4%
 
-2.37327742610.4%
 
-2.35099220310.4%
 
-2.30634927710.4%
 
-2.25702071210.4%
 
-2.25281095510.4%
 
-2.20420718210.4%
 
-2.01662492810.4%
 
-1.97114133810.4%
 
-1.96836507310.4%
 
ValueCountFrequency (%) 
3.94287610110.4%
 
2.38214063610.4%
 
1.97611355810.4%
 
1.85944175710.4%
 
1.81682324410.4%
 
1.6400852210.4%
 
1.54297316110.4%
 
1.50746524310.4%
 
1.48808181310.4%
 
1.4850670110.4%
 

Interactions

2020-08-25T00:57:06.691082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:06.823737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:06.951443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.073277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.196820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.323731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.446315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.571126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.694894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.825535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:07.949496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:08.064461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:08.185530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:08.314882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:08.440929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:08.561943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:08.691842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:08.990167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.120228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.243804image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.375420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.500408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.623245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.737390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.863109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:09.981924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.104233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.231175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.358485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.488210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.614450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.730822image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.862107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:10.992047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:11.121138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:11.245759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:11.377661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:11.518769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:11.645771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:11.773404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:11.903481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:12.022269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:12.140851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:12.249227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:12.367701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:12.484733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:12.601654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:12.898605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.014271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.131498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.248150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.355785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.473006image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.590288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.707445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.819632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:13.942886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.064282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.184435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.303839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.419432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.548496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.673725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.793126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:14.929097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.059007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.189601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.320921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.452405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.580802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.709753image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.830003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:15.959670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:16.090369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:16.218199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:16.339249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:57:43.689158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:43.803207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:43.928789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:44.049566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:44.170249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:44.460470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:44.581197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:44.702018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:44.825313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:44.940553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.060785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.186645image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.308156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.429107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.549263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.670974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.788819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:45.911673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.030511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.154917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.282653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.404025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.533493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.657639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.789216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:46.919864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.044937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.177507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.304694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.421388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.550564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.674968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.801066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:47.929059image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:48.056099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:48.354223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:48.486356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:48.613701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:48.740144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:48.867517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:48.999192image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.116391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.240305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.363304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.490862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.615163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.738352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.863234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:49.990633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.109025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.236139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.365000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.494164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.617943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.742857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.868845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:50.999413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:51.128922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:51.253971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:51.383374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:51.515717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:51.646183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:51.774678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:51.900066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:52.027581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:52.325701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:52.450937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:52.577868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:52.707276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:52.822817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:52.944925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.071115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.196249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.313997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.435716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.563905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.690904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.818720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:53.949492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.084076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.212377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.329149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.455656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.581957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.714003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.838397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:54.970157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.096732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.222955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.338255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.462827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.593067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.718588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.840714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:55.968302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:56.277269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:56.404885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:56.534767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:56.675193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:56.808021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:56.945132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:57.074968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:57.212745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:57.413217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:57.549231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:57.681299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:57.806461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:57.930724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.055916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.177943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.303243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.429038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.554263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.676503image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.804532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:58.929249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:59.063637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:59.192055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:58:04.940306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:58:05.239399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:58:05.533732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:58:05.831760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:57:59.468677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:57:59.938133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
00.769600-0.2151250.217846-0.559168-0.996292-1.6648251.0478191.158052-0.2229270.8246172.213722-0.3783711.5073141.0438491.215120-0.216812-0.712927-0.612212-0.203799-0.782452
1-1.165477-0.572085-1.645986-1.1119670.441122-0.3700731.620133-1.3499240.9994120.388845-1.0909600.1922880.1737690.185417-1.203359-1.7771730.8175500.863043-0.372659-0.011002
21.3791780.7352510.928575-0.4444190.5393861.560562-1.0985860.699625-0.0445060.8115750.740950-1.302740-0.9220380.3274200.915615-1.1136381.492375-1.458108-1.527168-1.501011
3-1.1453741.4482880.771882-1.1748480.9857061.692248-0.8075641.2333101.084607-1.1827210.0621291.471290-0.432964-0.5902090.455703-1.2829480.5905200.6260610.413841-1.584922
4-0.451231-0.8078270.2469331.015318-1.225108-0.8521771.2523251.4019171.1838051.7073070.5567461.1830830.5656460.0174010.225742-1.095246-0.030302-0.5463340.185218-1.971141
50.2595360.6038201.340906-0.125212-1.177958-1.148992-0.1763401.3079441.541671-1.3359701.0654180.461535-0.2820700.7277621.4155240.178753-1.4894611.3200661.1630490.549460
61.549266-1.405612-1.499320-1.2973370.5581431.065260-0.451271-1.6916531.3358110.149486-0.905446-1.6960141.314747-0.688471-0.3528211.162699-0.928797-1.3586340.846117-0.184640
70.636814-0.9772351.3005140.433929-0.110286-1.1321440.2791931.4739600.3576760.7816891.803077-1.5890250.1854700.7467562.053140-0.456640-0.550487-0.230238-0.9016221.283433
81.6659980.451743-0.095853-0.283927-1.2037741.5832800.422371-0.8404991.2433801.676102-1.2910031.3919301.647551-0.792853-0.981970-1.4580040.222182-0.6464170.8728260.826364
90.619552-1.058379-0.500832-1.172930-1.6324100.3317890.109142-0.233433-0.0526421.6251770.4900561.6631340.299055-0.0340370.1708281.6175600.632943-1.107949-1.0914720.772939

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
2401.4725590.9541710.2575561.044967-0.9898610.217420-1.309603-0.228956-0.806545-0.8664341.0150001.2379101.6945651.2922890.9711901.365691-1.2270511.0779550.7189531.485067
241-0.8997290.6115050.518666-1.490664-0.534695-0.757973-0.606504-0.277916-0.091497-1.0516310.386029-1.159050-0.0098221.4985540.2785801.2961171.2180611.0446601.4310991.089415
242-0.510853-1.176859-1.352185-1.1946210.592194-0.148218-0.754014-0.881794-0.2620041.523672-0.235177-0.6489950.3407241.469140-0.796401-1.5394901.1155040.2232930.1796600.538988
2431.458995-0.712300-0.972950-0.9389350.350890-1.0748180.138605-1.3674471.026438-1.293665-0.2947250.2357240.3213410.375442-0.6302340.0161661.4385300.114600-0.6383000.196224
244-1.5323011.4956980.190835-1.332932-0.5165741.658282-1.473668-0.096517-0.067299-1.044427-0.1163730.740125-0.5115340.514183-0.174427-1.0270821.092029-1.0112851.0930250.709513
245-0.717140-0.3513150.634595-0.873582-0.320376-1.0519340.7144660.5947600.400410-0.7789680.4244790.590138-0.746489-0.0042560.2239220.160982-1.426737-0.380155-0.929785-1.507716
246-0.6022351.5892311.2140200.8345380.250531-0.5311000.1627271.527014-0.752138-0.4967090.7332930.245692-1.446580-0.7295280.806100-0.3579450.484583-0.7021250.8873410.084592
2470.434042-0.368894-1.574421-0.731813-1.616937-1.5200500.539354-1.102533-0.801456-0.772947-0.280196-1.124351-1.4570581.090712-0.495513-0.7107490.796915-1.3603640.1127810.331293
248-1.4144461.0303591.200060-1.1319961.513715-0.9275551.6095511.015766-0.189356-1.3343570.4919910.111823-1.1859680.7614000.6728571.408350-0.753629-0.3431411.769879-0.883813
249-0.641962-0.1022030.003217-0.727532-0.722310-0.8978210.2769510.400182-1.620856-1.3799160.165065-1.408736-1.220133-0.001691-0.195937-1.588320-1.347773-1.5838890.008835-0.330635